Senior Software Engineer - Computational Platform

Accountabilities

You will take ownership of building and maintaining a scalable computational platform that supports scientific discovery and collaboration.

You will contribute across the full software development lifecycle, from architecture and infrastructure to production deployment and continuous improvement.

Build, enhance, and maintain reliable software systems supporting scientific data workflows and computational research.

Develop scalable cloud infrastructure with a focus on security, performance, and data lifecycle management.

Translate scientific and clinical needs into production-ready solutions, including APIs, pipelines, and user-facing applications.

Design and implement software tools that enable scientists and external partners to work efficiently with complex datasets.

Drive engineering quality through strong development practices, code reviews, architectural discussions, and technical mentorship.

Balance rapid prototyping with production reliability by delivering solutions that can scale effectively.

Collaborate with cross-functional teams including scientists, engineers, data experts, and business stakeholders to achieve shared goals.

Improve platform reliability, accessibility, and operational excellence through thoughtful engineering decisions.

Contribute to modern AI-driven workflows, automation, and emerging technologies that enhance scientific productivity.

Requirements

The ideal candidate is an experienced software engineer with strong full-stack and cloud engineering expertise, capable of designing robust systems while collaborating effectively in a fast-moving, mission-driven environment.

6+ years of professional software engineering experience in an industry setting.

Strong understanding of software engineering best practices, including deployment processes, code management, environment management, and security principles.

Hands-on experience with cloud platforms such as AWS and/or GCP, including infrastructure management, Terraform, Kubernetes, Docker, networking, and cloud security.

Strong programming skills in Python or a similar language.

Experience designing and working with data engineering systems, relational databases, and data modeling.

Front-end development experience with React and JavaScript.

Familiarity with ETL system design, SQL optimization, and data processing best practices.

Experience working with AI technologies, including LLMs, agent-based systems, or modern AI-powered workflows, is a plus.

Previous experience in biotechnology, life sciences, healthcare technology, or scientific computing environments is preferred.

A proactive problem-solving mindset with the ability to take ownership, adapt to changing priorities, and deliver results.

Strong collaboration skills and alignment with values centered around accountability, resilience, continuous improvement, and technical excellence.

Benefits

Competitive base salary range of $154,084.36-$200,309.67, depending on experience, skills, and role scope.

Anual performance-based bonus opportunities.

Equity participation through stock options.

Comprehensive medical, dental, and vision insurance coverage.

401(k) retirement plan.

Flexible paid time off and paid holidays.

Remote work flexibility with the option to work from company locations.

Company-provided laptop and technology resources.

Additional perks including on-campus gym access, onsite meals, and commuter support.

Opportunity to contribute to groundbreaking work at the intersection of AI, software engineering, and genetic medicine.